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Главная Архив Оргкомитет Будущие конференции American Society of Thermal and Fluids Engineering
Second Thermal and Fluids Engineering  Conference

ISSN: 2379-1748
ISBN: 978-1-56700-430-4

Numerical and Experimental Investigation of Heat/Mass Transfer in a Linear Turbine Cascade

Francesco Papa
University of Minnesota

Umesh Madanan
University of Minnesota Twin Cities

Richard J. Goldstein
Heat Transfer Laboratory, Department of Mechanical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, USA


The influence of main secondary flow features, consisting of the horseshoe vortex, the passage vortex and the corner vortices, on heat/mass transfer in a linear turbine cascade is studied for two cases with exit Reynolds number of 600,000 and turbulent intensities of 0.2%% and 4% respectively. Numerical predictions of heat/mass transfer coefficients for blade and end-wall surfaces are also compared with the experimental measurements. Shear Stress Transport (SST) closure model and Reθ-γ transition model combined with SST (SST-TRANS) are used for numerical calculations of the heat/mass transfer coefficients whereas mass transfer measurements with naphthalene sublimation technique is employed for the experimental runs in a wind-tunnel with five large-scale turbine blades. Numerical simulations were performed under conditions comparable to the experiments. In general, SST-TRANS showed a great improvement when equated to the standard SST model in predicting the local heat/mass transfer coefficients. On the pressure side of the blade, SST-TRANS model showed excellent agreement with the experimental data over the entire span of the blade. On the blade suction-side, SST-TRANS model could predict the heat/mass transfer behavior, analogous with the experimental data, in the highly three-dimensional regions near the end wall. The only limitation presented by the SST-TRANS model, on the suction side, was in predicting the transition point in the two-dimensional region, which was slightly upstream of the actual experimental data points. SST-TRANS model showed a good agreement, much better than the standard SST model, with the experimental data for the end-wall region.

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